0
Add your answer:
Earn +20 pts
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens to the expected value of M as sample size increases?
Decreases
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
What happens to the distribution of the t-score as the sample size increases?
It approaches a normal distribution.
What happens to the standard error of the mean if the sample size is increased?
Decrease
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens to the expected value of M as sample size increases?
Decreases
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
What happens to the distribution of the t-score as the sample size increases?
It approaches a normal distribution.
When the size of a representative sample increases does the mean range median or standard deviation decrease?
mean
As standard deviation increases what happens to the sample size in order to achieve a specified level of confidence?
decreases
What happens to the width of the confidence interval when you are unable to get a large sample size?
The width of the confidence interval increases.
What happens to the standard error of the mean if the sample size is increased?
Decrease
Does the distribution of sample means have a standard deviation that increases with the sample size?
No, it is not.
As the sample size increases the standard deviation of the sampling distribution increases?
No.
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
As the sample size increases what does the expected value of M do?
You have not defined M, but I will consider it is a statistic of the sample. For an random sample, the expected value of a statistic, will be a closer approximation to the parameter value of the population as the sample size increases. In more mathematical language, the measures of dispersion (standard deviation or variance) from the calculated statistic are expected to decrease as the sample size increases.
